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Search: L773:2305 5839 OR L773:2305 5847 > (2021)

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  • Li, Quan, et al. (author)
  • Diagnostic performance of CT-derived resting distal to aortic pressure ratio (resting Pd/Pa) vs. CT-derived fractional flow reserve (CT-FFR) in coronary lesion severity assessment
  • 2021
  • In: Annals of Translational Medicine. - : AME Publishing Company. - 2305-5839 .- 2305-5847. ; 9:17
  • Journal article (peer-reviewed)abstract
    • Background: Computed tomography-derived fractional flow reserve (CT-FFR) has emerged as a promising non-invasive substitute for fractional flow reserve (FFR) measurement. Normally, CT-FFR providing functional significance of coronary artery disease (CAD) by using a simplified total coronary resistance index (TCRI) model. Yet the error or discrepancy caused by this simplified model remains unclear. Methods: A total of 20 consecutive patients with suspected CAD who underwent CTA and invasive FFR measurement were retrospectively analyzed. CT-FFR and CT-(Pd/Pa)rest values derived from the coronary CTA images. The diagnostic performance of CT-FFR and CT-(Pd/Pa)rest were evaluated on a per-vessel level using C statistics with invasive FFR<0.80 as the reference standard. Results: Of the 25 vessels eventually analyzed, the prevalence of functionally significant CAD were 64%. The Youden index of the ROC curve indicated that the best cutoff value of invasive resting Pd/Pa was 0.945 for identifying functionally significant lesions. Sensitivity, specificity, negative predictive value, positive predictive value and accuracy were 85%, 91%, 92%, 83% and 88% for CT-(Pd/Pa)rest and 85%, 58% 69%, 78% and 72% for CT-FFR. Area under the receiver-operating characteristic curve (AUC) to detect functionally significant stenoses of CT-(Pd/Pa)rest and CT-FFR were 0.87 and 0.90. Conclusions: In this study, the results suggest CT-derived resting Pd/Pa has a potential advantage over CT-FFR in triaging patients for revascularization.
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  • Result 1-5 of 5
Type of publication
journal article (5)
Type of content
peer-reviewed (5)
Author/Editor
Xu, Y. (2)
Lu, Y (2)
Chen, H. (1)
Gao, J. (1)
Wang, J. (1)
Zhang, J. (1)
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Zhang, L. (1)
Liu, H. (1)
Chen, T. (1)
Zhou, D. (1)
Wang, YP (1)
Yang, L. (1)
Tang, F. (1)
Chen, M (1)
Liu, YN (1)
Li, F. (1)
Wang, W. (1)
Li, C. (1)
Zhang, Yang (1)
Sun, F (1)
Wang, SF (1)
Zhang, M (1)
Witman, N (1)
Gong, YQ (1)
Tan, Y (1)
Fu, W (1)
Huang, YH (1)
Li, W. (1)
Li, P. (1)
Wu, L. (1)
Ouyang, WW (1)
Cheng, H. (1)
Shi, W. (1)
Wang, XJ (1)
Zhao, JH (1)
Kou, H. (1)
Wang, Chunliang, 198 ... (1)
Mao, W. (1)
Yang, K (1)
Li, Quan (1)
Bao, K (1)
Li, JM (1)
Yang, HT (1)
Yang, LH (1)
Zeng, Yong (1)
Sun, W (1)
Wen, ZH (1)
Li, WJ (1)
Li, JF (1)
Zhao, HY (1)
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University
Karolinska Institutet (4)
Royal Institute of Technology (1)
Language
English (5)
Research subject (UKÄ/SCB)
Medical and Health Sciences (1)
Year
2021 (5)Undo refine

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